Osman Ozaltin

Dalgic, O. O., Wu, H., Erenay, F. S., Sir, Y. M., Ozaltin, Y. O., Crum, A. B., & Pasupathy, S. K. (2021). Mapping of critical events in disease progression through binary classification: Application to amyotrophic lateral sclerosis. JOURNAL OF BIOMEDICAL INFORMATICS, 11. https://doi.org/10.1016/j.jbi.2021.103895

Agor, J. K., Paramita, N. L. P. S. P., & Ozaltn, O. Y. (2021). Prediction of Sepsis Related Mortality: An Optimization Approach. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 11. https://doi.org/10.1109/JBHI.2021.3096470

Enayati, S., & Ozaltin, O. Y. (2020). Optimal influenza vaccine distribution with equity. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 283(22), 714–725. https://doi.org/10.1016/j.ejor.2019.11.025

Velasquez, G. A., Mayorga, M. E., & Ozaltin, O. Y. (2020). Prepositioning disaster relief supplies using robust optimization. IISE TRANSACTIONS. https://doi.org/10.1080/24725854.2020.1725692

Sand?k??, B., & Özalt?n, O. Y. (2019). An embarrassingly parallel method for large-scale stochastic programs. In Springer Optimization and Its Applications (Vol. 149, pp. 127–151). https://doi.org/10.1007/978-3-030-22788-3_5

Swan, B., Ozaltin, O., Hilburn, S., Gignac, E., & McCammon, G. (2019). Evaluating an Emergency Department Care Redesign: A Simulation Approach. Proceedings - Winter Simulation Conference, 2019-December, 1137–1147. https://doi.org/10.1109/WSC40007.2019.9004947

Agor, J., & Ozaltin, O. Y. (2019). Feature selection for classification models via bilevel optimization. COMPUTERS & OPERATIONS RESEARCH, 106, 156–168. https://doi.org/10.1016/j.cor.2018.05.005

Abu-El-Haija, L., Ivy, J. S., Ozaltin, O., & Park, W. (2019). The Effect of the Distribution of the Inverse Growth Rate on Pancreatic Cancer Progression. Proceedings - Winter Simulation Conference, 2019-December, 1044–1054. https://doi.org/10.1109/WSC40007.2019.9004877

Agor, J., Ozaltin, O. Y., Ivy, J. S., Capan, M., Arnold, R., & Romero, S. (2019). The value of missing information in severity of illness score development. JOURNAL OF BIOMEDICAL INFORMATICS, 97. https://doi.org/10.1016/j.jbi.2019.103255

Dalgic, O. O., Erenay, F. S., Pasupathy, K. S., Ozaltin, O. Y., Crum, B. A., & Sir, M. Y. (2019). Tollgate-based progression pathways of ALS patients. JOURNAL OF NEUROLOGY, 266(3), 755–765. https://doi.org/10.1007/s00415-019-09199-y

Enayati, S., Ozaltin, O., Mayorga, M. E., & Saydam, C. (2018). Ambulance redeployment and dispatching under uncertainty with personnel workload limitations. IISE Transactions, 50(9), 777–788. https://doi.org/10.1080/24725854.2018.1446105

Agor, J. K., & Ozaltin, O. (2018). Models for predicting the evolution of influenza to inform vaccine strain selection. Human Vaccines & Immunotherapeutics, Vol. 14, pp. 678–683. https://doi.org/10.1080/21645515.2017.1423152

Zare, M. H., Özalt?n, O. Y., & Prokopyev, O. A. (2018). On a class of bilevel linear mixed-integer programs in adversarial settings. Journal of Global Optimization, 71(1), 91–113. https://doi.org/10.1007/s10898-017-0549-2

Özaltin, O. Y., Prokopyev, O. A., & Schaefer, A. J. (2018). Optimal design of the seasonal influenza vaccine with manufacturing autonomy. INFORMS Journal on Computing, 30(2), 371–387. https://doi.org/10.1287/ijoc.2017.0786

Jansen, M. C., & Ozaltin, O. (2018). Optimal production in a competitive market under yield uncertainty. OPTIMIZATION LETTERS, 12(7), 1487–1502. https://doi.org/10.1007/s11590-018-1288-0

Sandikci, B., & Ozaltin, O. (2017). A scalable bounding method for multistage stochastic programs. SIAM Journal on Optimization, 27(3), 1772–1800. https://doi.org/10.1137/16m1075594

Dalgic, O. O., Ozaltin, O., Ciccotelli, W. A., & Erenay, F. S. (2017). Deriving effective vaccine allocation strategies for pandemic influenza: Comparison of an agent-based simulation and a compartmental model. PLoS One, 12(2). https://doi.org/10.1371/journal.pone.0172261

Jansen, M. C., & Ozaltin, O. (2017). Note on Cournot competition under yield uncertainty. Manufacturing & Service Operations Management, 19(2), 305–308. https://doi.org/10.1287/msom.2016.0610

Cleghern, Z., Lahiri, S., Ozaltin, O., & Roberts, D. L. (2017). Predicting future states in DotA 2 using value-split models of time series attribute data. ACM International Conference Proceeding Series, Part F130151. https://doi.org/10.1145/3102071.3102095

Agor, J., McKenzie, K., Mayorga, M. E., Ozaltin, O., Parikh, R. S., & Huddleston, J. (2017). Simulating triage of patients into an internal medicine department to validate the use of an optimization-based workload score. 2017 winter simulation conference (wsc), 2881–2892. https://doi.org/10.1109/wsc.2017.8248011

Zhang, J., & Ozaltin, O. (2017). Single-ratio fractional integer programs with stochastic right-hand sides. IISE Transactions, 49(6), 579–592. https://doi.org/10.1080/24725854.2017.1302116

Ozaltin, O., Dalgic, O. O., & Erenay, F. S. (2016). Optimal distribution of the influenza vaccine. 2016 10th european conference on antennas and propagation (eucap), 2015-January, 1411–1420. https://doi.org/10.1109/wsc.2014.7019995

Agor, J., McKenzie, K., Ozaltin, O., Mayorga, M., Parikh, R. S., & Huddleston, J. (2016). Simulation of triaging patients into an internal medicine department to validate the use of an optimization based workload score. 2016 winter simulation conference (wsc), 0, 3708–3709. https://doi.org/10.1109/wsc.2016.7822411

Beheshti, B., Ozaltin, O., Zare, M. H., & Prokopyev, O. A. (2015). Exact solution approach for a class of nonlinear bilevel knapsack problems. Journal of Global Optimization, 61(2), 291–310. https://doi.org/10.1007/s10898-014-0189-8

ÖzaltIn, O. Y., Prokopyev, O. A., & Schaefer, A. J. (2012). Two-stage quadratic integer programs with stochastic right-hand sides. Mathematical Programming, 133(1-2), 121–158. https://doi.org/10.1007/s10107-010-0412-4

Ozaltin, O., Prokopyev, O. A., Schaefer, A. J., & Roberts, M. S. (2011). Optimizing the societal benefits of the annual influenza vaccine: A stochastic programming approach. Operations Research, 59(5), 1131–1143. https://doi.org/10.1287/opre.1110.0988

Özaltin, O. Y., Hunsaker, B., & Schaefer, A. J. (2011). Predicting the solution time of branch-and-bound algorithms for mixed-integer programs. INFORMS Journal on Computing, 23(3), 392–403. https://doi.org/10.1287/ijoc.1100.0405

Özaltin, O. Y., Prokopyev, O. A., & Schaefer, A. J. (2010). The bilevel knapsack problem with stochastic right-hand sides. Operations Research Letters, 38(4), 328–333. https://doi.org/10.1016/j.orl.2010.04.005